Triple

T14550964
Position Surface form Disambiguated ID Type / Status
Subject Conseil municipal de Lancy E341415 entity
Predicate country P26 FINISHED
Object Suisse E5030 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Suisse | Statement: [Conseil municipal de Lancy, country, Suisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suisse
Context triple: [Conseil municipal de Lancy, country, Suisse]
  • A. Switzerland chosen
    Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
  • B. Switzerland and Liechtenstein
    Switzerland and Liechtenstein are two small, landlocked Central European countries known for their Alpine landscapes, close economic ties, and shared use of the Swiss franc.
  • C. Suize
    The Suize is a small river in northeastern France that flows through the Haute-Marne department and contributes to its local hydrographic network.
  • D. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • E. Deutschschweiz
    Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94afc95c8190ae4aff12c9d69c88 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.